Publication: Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India
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Date
2024
Authors
Pandey A.
Parashar D.
Palni S.
Sarkar M.S.
Mishra A.P.
Singh A.P.
Costache R.
Abdulqadim T.J.
Pande C.B.
Tolche A.D.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
The snowline exhibits significant seasonal shifts upward and downward, reflecting the ever-changing dynamics of the seasons and being influenced by climate variations, which can vary annually. These fluctuations profoundly impact the cryosphere, biota, and ecosystem processes in high mountain regions. Despite the critical role of snowline variations, comprehensive information on how actual climate variability affects snow cover trends in the central mountain range of the western Himalayas is scarce. In the 'Pindari' region of the Uttarakhand district, India, which is part of the Himalayas, these challenges are exacerbated by the unchecked growth of anthropogenic activities and the broader impacts of climate change. This study analyses snowline variations in the Pindari glacial region from 1972 to 2018. The findings revealed that the snowline elevation significantly shifted upward between 1972 and 2018. Notably, this research revealed a decrease in snow-covered areas of approximately 5.01 km2 over the course of 46�years. This decrease is attributed to a direct response to the increasing number of high-temperature events that occurred during this extended period. This study emphasizes the urgent need for conservation measures in the study region and similar high mountains to combat global warming and safeguard the snowline, which serves as a visible proxy indicator to safeguard high-altitude Himalayan glaciers. ? The Author(s) 2024.
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Keywords
Himalayas , India , Kumaun Himalayas , Uttarakhand , Global warming , Landforms , Snow , Anthropogenic activity , Case-studies , Climate variability , High altitude , High mountains , Himalayas , Impact assessments , Remote-sensing , Snowline , Spectral indices , assessment method , climate change , global warming , high temperature , human activity , remote sensing , snow cover , snowline , spatiotemporal analysis , Remote sensing